Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performance
Sustainable Manufacturing is essential in supporting a more sustainable production process in the current era. However, continuous improvement research that utilizes Manufacturing Sustainability Index (MSI) scores in improving Sustainable Manufacturing performance is still limited. Therefore, this s...
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Format: | Article |
Language: | English |
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Elsevier
2023-12-01
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Series: | Cleaner Engineering and Technology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666790823001052 |
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author | Dana Marsetiya Utama Millenia Abirfatin |
author_facet | Dana Marsetiya Utama Millenia Abirfatin |
author_sort | Dana Marsetiya Utama |
collection | DOAJ |
description | Sustainable Manufacturing is essential in supporting a more sustainable production process in the current era. However, continuous improvement research that utilizes Manufacturing Sustainability Index (MSI) scores in improving Sustainable Manufacturing performance is still limited. Therefore, this study aims to propose a new framework for evaluating Manufacturing Sustainability based on lean Six Sigma and Sustainable Manufacturing concepts using Sustainable Value Stream Mapping (Sus-VSM). We call this new framework Sustainable Lean Six-sigma (SLSS) based on the DMAIC (Define, Measure, Analyze, Improve, Control) approach. The SIPOC diagram and the Delphi method are used in the Define stage to select relevant indicators. Then, the selected indicators were evaluated in the Measure stage, and the Manufacturing Sustainability Index (MSI) was calculated. At the Analyze stage, the Sus-VSM is analyzed. At the Improve stage, improvement proposals are made using Failure Mode and Effect Analysis (FMEA), and a future Sus-VSM is created. Finally, in the Control stage, check sheets are created to control the implementation of the proposed improvements. In the DMAIC process, Sus-VSM is used as a production flow mapping using a traffic light system to map indicators in each process and MSI values on the production line. A case study was also conducted on the Agro-Food Industry. The results showed that the proposed framework could be implemented in the company and successfully improved the Manufacturing Sustainability Index (MSI) score from 88.78% to 93.80%. The implication of this research shows the potential of using the SLSS framework in improving manufacturing sustainability performance in industrial sectors. |
first_indexed | 2024-03-08T22:14:09Z |
format | Article |
id | doaj.art-5988bfe50c5043cbb07b4e54a8e6a960 |
institution | Directory Open Access Journal |
issn | 2666-7908 |
language | English |
last_indexed | 2024-03-08T22:14:09Z |
publishDate | 2023-12-01 |
publisher | Elsevier |
record_format | Article |
series | Cleaner Engineering and Technology |
spelling | doaj.art-5988bfe50c5043cbb07b4e54a8e6a9602023-12-19T04:17:37ZengElsevierCleaner Engineering and Technology2666-79082023-12-0117100700Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performanceDana Marsetiya Utama0Millenia Abirfatin1Corresponding author.; Department of Industrial Engineering, Universitas Muhammadiyah Malang, East Java, IndonesiaDepartment of Industrial Engineering, Universitas Muhammadiyah Malang, East Java, IndonesiaSustainable Manufacturing is essential in supporting a more sustainable production process in the current era. However, continuous improvement research that utilizes Manufacturing Sustainability Index (MSI) scores in improving Sustainable Manufacturing performance is still limited. Therefore, this study aims to propose a new framework for evaluating Manufacturing Sustainability based on lean Six Sigma and Sustainable Manufacturing concepts using Sustainable Value Stream Mapping (Sus-VSM). We call this new framework Sustainable Lean Six-sigma (SLSS) based on the DMAIC (Define, Measure, Analyze, Improve, Control) approach. The SIPOC diagram and the Delphi method are used in the Define stage to select relevant indicators. Then, the selected indicators were evaluated in the Measure stage, and the Manufacturing Sustainability Index (MSI) was calculated. At the Analyze stage, the Sus-VSM is analyzed. At the Improve stage, improvement proposals are made using Failure Mode and Effect Analysis (FMEA), and a future Sus-VSM is created. Finally, in the Control stage, check sheets are created to control the implementation of the proposed improvements. In the DMAIC process, Sus-VSM is used as a production flow mapping using a traffic light system to map indicators in each process and MSI values on the production line. A case study was also conducted on the Agro-Food Industry. The results showed that the proposed framework could be implemented in the company and successfully improved the Manufacturing Sustainability Index (MSI) score from 88.78% to 93.80%. The implication of this research shows the potential of using the SLSS framework in improving manufacturing sustainability performance in industrial sectors.http://www.sciencedirect.com/science/article/pii/S2666790823001052Sustainable manufacturingLean six sigmaSustainable value stream mappingDMAICAgro-food industry |
spellingShingle | Dana Marsetiya Utama Millenia Abirfatin Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performance Cleaner Engineering and Technology Sustainable manufacturing Lean six sigma Sustainable value stream mapping DMAIC Agro-food industry |
title | Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performance |
title_full | Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performance |
title_fullStr | Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performance |
title_full_unstemmed | Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performance |
title_short | Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performance |
title_sort | sustainable lean six sigma a new framework for improve sustainable manufacturing performance |
topic | Sustainable manufacturing Lean six sigma Sustainable value stream mapping DMAIC Agro-food industry |
url | http://www.sciencedirect.com/science/article/pii/S2666790823001052 |
work_keys_str_mv | AT danamarsetiyautama sustainableleansixsigmaanewframeworkforimprovesustainablemanufacturingperformance AT milleniaabirfatin sustainableleansixsigmaanewframeworkforimprovesustainablemanufacturingperformance |